Alternatives and similar repositories for improved-ml-algorithm

Users that are interested in improved-ml-algorithm are comparing it to the libraries listed below

• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆36Updated 2 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 3 years ago
• Shmoo137 / SummerSchool2021_MLinQuantum
  The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…
  ☆43Updated 6 months ago
• GCatarina / DMRG_didactic
  Jupyter notebook with a didactic implementation of DMRG.
  ☆18Updated 2 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆67Updated 3 months ago
• varbench / varbench
  ☆51Updated last year
• lin-lin / Quantum290
  Quantum 290 Seminar from 2020 Fall - ongoing
  ☆35Updated last week
• joselado / dmrgpy
  DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as im…
  ☆108Updated last week
• mariomotta / QITE
  ☆40Updated 6 years ago
• Haokai-Zhang / EasyMPS
  A pedagogical realization of MPS method.
  ☆99Updated 4 years ago
• USCqserver / HOQSTTutorials.jl
  Tutorials for Hamiltonian Open Quantum System Toolkit(HOQST)
  ☆30Updated 3 years ago
• bartolsthoorn / NQS-numpy
  Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…
  ☆33Updated 7 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 6 years ago
• iglpdc / dmrg101
  Python implementation of the DMRG algorithm for the Taipei DMRG Winter School
  ☆57Updated 13 years ago
• YijiawWang / TNMP
  ☆24Updated 5 months ago
• cmendl / pytenet
  Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, sup…
  ☆68Updated 3 months ago
• liwt31 / SimpleMPS
  Matrix product states (MPS) based density matrix renormalization group (DMRG)
  ☆27Updated 2 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆37Updated 4 years ago
• ranshiju / T-Nalg
  Tensor Netwok Algorithms for EVERYONE
  ☆40Updated 5 years ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆74Updated 3 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 6 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 5 years ago
• BorjaRequena / VMC_introduction
  Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
  ☆20Updated 4 years ago
• CDL-Quantum / CohortProject_2020
  Open collaboration of the Quantum Bootcamp 2020
  ☆34Updated 5 years ago
• ikim-quantum / dmera
  Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
  ☆15Updated 5 years ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆52Updated 2 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆52Updated 6 years ago